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Paper Citation Record · LEDGER

Cost-sensitive Boosting Pruning Trees for depression detection on Twitter

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.00398.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.00398 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:21:59.342024Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T14:29:02.594551Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 56553ead-7d13-43e9-a5f3-c88a4294a987 · inbound

Multi-level Attention network using text, audio and video for Depression Prediction cites this paper.

Multi-level Attention network using text, audio and video for Depression Prediction Cost-sensitive Boosting Pruning Trees for depression detection on Twitter

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T05:21:59.342024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:21:59.342024Z digest=sha256:da94c0949e71f28bfd73bfa230ab260ad340fc8de59015cc5eb8dee4b6ee2a4b

Observation 8fa5b921-7b61-4a37-bf74-4ead22182de9 · inbound

Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review cites this paper.

Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review Cost-sensitive Boosting Pruning Trees for depression detection on Twitter

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-08T14:29:02.600524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T14:28:59.219873Z digest=sha256:e2d7797b9bc666c3bbb7eb02a9f7b81189599ee520476b0edfdbdf7a6a36b6c9